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Tintri®, a DDN® subsidiary and the leading provider of auto adaptive, workload intelligent platforms, has expanded its line of VMstore™ T7000 NVMe-based systems to include the VMstore T7060 and T7040 platforms. VMstore, the world's most intelligent storage management system, features AI-driven autonomous operations, app-level visibility and real-time and predictive analytics for hands-off operations for nearly all administrative tasks – reducing administrative overhead by as much as 95%.
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Protecting clients and reputation while reducing the cost of DR.
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Druva has introduced Druva Rollback Actions, allowing customers to easily and quickly roll back unauthorized or accidental deletion activity. When combined with Druva’s AI-driven continuous monitoring capabilities and 24/7 support from Druva Cloud Ops, customers will be able to rapidly monitor, fight and mitigate internal or external threats. In tandem with the recently announced Druva Curated Recovery, customers can now experience one of the industry’s most comprehensive and innovative...
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The combination of Storage Made Easy’s Enterprise File Fabric and Object Storage from Cloudian helped AUB enhance data accessibility and it is documented in a newly released customer case study.
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Breakthrough innovations bring hyperscale cloud technology and experience to wherever data lives, enable enterprises to maintain data sovereignty and control, and deliver low total cost of ownership, reducing cold storage costs by 80%.
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New features and enhancements include Veeam Backup & Replication v11a, cloud-native capabilities for AWS, Microsoft Azure and Google Cloud Platform, integration with Kasten K10 for Kubernetes, support for Red Hat Virtualization backup, Instant Recovery to Nutanix AHV, Veeam ONE v11a, and Veeam Service Provider Console v6.
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Clifton College is one of the UK’s leading co-educational independent schools. Cristie Data provides the Bristol-based private school with a fully managed, scalable and reliable cloud backup solution that protects pupil data and can easily scale to meet future data growth.
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